C. L. Azevedo

发表

Simulation Framework for Rebalancing of Autonomous Mobility on Demand Systems

Emilio Frazzoli, Der-Horng Lee, Emilio Frazzoli, 2016 .

Car-Sharing Subscription Preferences: The Case of Copenhagen, Munich, and Tel Aviv-Yafo

Mayara Moraes Monteiro, Y. Shiftan, C. Antoniou, 2022, 2206.02448.

The effect of transport infrastructure, congestion and reliability on mental wellbeing: a systematic review of empirical studies

S. Haustein, C. L. Azevedo, Inês Alves, 2022, Transport Reviews.

CONTEXT-AWARE STATED PREFERENCES SURVEYS FOR SMART MOBILITY

M. Ben-Akiva, Mazen Danaf, B. Atasoy, 2018 .

Market design for tradable mobility credits

M. Ben-Akiva, A. Akkinepally, Ravi Seshadri, 2021, Transportation Research Part C: Emerging Technologies.

Bayesian Active Learning with Fully Bayesian Gaussian Processes

Frederik Boe Huttel, Francisco Pereira, C. L. Azevedo, 2022, ArXiv.

Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities

Jimi B. Oke, Youssef M. Aboutaleb, M. Ben-Akiva, 2020 .

SimMobility Short-Term: An Integrated Microscopic Mobility Simulator

Simon Oh, Moshe Ben-Akiva, Tomer Toledo, 2017 .

Modeling reaction time within a traffic simulation model

Yan Xu, Tomer Toledo, Runmin Xu, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance pdf

Francisco C. Pereira, Ioanna Arkoudi, Carlos Lima Azevedo, 2021, Transportation Research Part B: Methodological.

Formulation and solution approach for calibrating activity-based travel demand model-system via microsimulation

Moshe Ben-Akiva, Siyu Chen, A. Arun Prakash, 2020 .

Assessing the impacts of automated mobility-on-demand through agent-based simulation: A study of Singapore

Moshe Ben-Akiva, Ravi Seshadri, Nishant Kumar, 2020, Transportation Research Part A: Policy and Practice.

Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method

Eleni Christofa, Arun Akkinepally, Carlos Lima Azevedo, 2020, Transportation.

Implementation of a Danish activity-based model

Ravi Seshadri, C. L. Azevedo, M. M. Monteiro, 2022, Proceedings from the Annual Transport Conference at Aalborg University.

Bayesian Active Learning with Fully Bayesian Gaussian Processes

C. L. Azevedo, Francisco Antunes, Christoffer Riis, 2022, NeurIPS.

Autonomous mobility on demand in SimMobility: Case study of the central business district in Singapore

Emilio Frazzoli, Der-Horng Lee, Muhammad Adnan, 2015, 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM).

Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment

Eleni Christofa, Moshe E. Ben-Akiva, Siyu Chen, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility

M. Ben-Akiva, Mazen Danaf, B. Atasoy, 2023, IEEE Transactions on Intelligent Transportation Systems.

Vehicle Tracking Using the k-shortest Paths Algorithm and Dual Graphs

Moshe Ben-Akiva, João Lourenço Cardoso, Carlos Lima Azevedo, 2014 .

Incorporating the mobility as a service concept into transport modelling and simulation frameworks

Moshe Ben-Akiva, Maria Kamargianni, Carlos Lima Azevedo, 2018 .

Bayesian Active Learning with Fully Bayesian Gaussian Processes

C. L. Azevedo, Francisco Antunes, Christoffer Riis, 2022, NeurIPS.

Demand Calibration of Multimodal Microscopic Traffic Simulation using Weighted Discrete SPSA

Moshe Ben-Akiva, Simon Oh, Ravi Seshadri, 2019, Transportation Research Record: Journal of the Transportation Research Board.